querying heterogeneous datasets on the linked data web: challenges, approaches, and trends

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Copyright 2009 Digital Enterprise Research Institute. All rights reserved. Digital Enterprise Research Institute www.deri.ie Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends André Freitas, Edward Curry, João G. Oliveira, Seán O’Riain

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The growing number of datasets published on the Web as linked data brings both opportunities for high data availability and challenges inherent to querying data in a semantically heterogeneous and distributed environment. Approaches used for querying siloed databases fail at Web-scale because users don't have an a priori understanding of all the available datasets. This article investigates the main challenges in constructing a query and search solution for linked data and analyzes existing approaches and trends.Full article: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6051410&tag=1

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Page 1: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Copyright 2009 Digital Enterprise Research Institute. All rights reserved.

Digital Enterprise Research Institute www.deri.ie

Querying Heterogeneous Datasets on the Linked Data Web:

Challenges, Approaches, and Trends

André Freitas, Edward Curry, João G. Oliveira,

Seán O’Riain

Page 2: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

IEEE Internet Computing

Page 3: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6051410&tag=1

Page 4: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Challenges

Page 5: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Current Scenario/Ideal Scenario

Page 6: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Expressivity- usability trade- off

Page 7: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Challenges

This analysis focuses on the investigation of existing approaches under the perspective of the usability-expressivity trade-off.

This focus guides the categorization and analysis of existing challenges, approaches and trends.

Page 8: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Challenge Dimensions

Query expressivity Usability Vocabulary-level semantic matching Entity Reconciliation Semantic Tractability mechanisms

Page 9: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Approaches

Page 10: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Approaches

Information Retrieval approaches Entity-centric search Structure search

Natural Language approaches Question Answering Semantic best-effort natural language interfaces

Page 11: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Entity- Centric Search

e.g. Sindice

Page 12: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Structure Search

e.g. Semplore

Page 13: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Question Answering

e.g. FreyA

Page 14: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Semantic Best- Effort/NL

e.g. Treo

Page 15: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Comparative Analysis (Approaches)

Page 16: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Trends

Page 17: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Addressing the Challenges

The functionality analysis of existing approaches provides insights on how the major challenges should be addressed.

This set of strategic functionalities define the set of trends.

Page 18: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Linked Data Web

Page 19: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

Trends

Complementary Search and Query Services User Interaction and Feedback Mechanisms Semantic Best-Effort Query Model Natural Language Processing Techniques Distributional Semantic Model External Knowledge Sources for Semantic

Enrichment Integrated Entity Reconciliation Techniques

Page 20: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

IEEE Internet Computing

Page 21: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6051410&tag=1

Page 22: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Digital Enterprise Research Institute www.deri.ie

http://andrefreitas.org